Top Data Engineer Jobs in London

As a Senior Java Engineer, you will develop and optimize backend services for data-intensive applications, focusing on high reliability and performance in live sports environments. You will collaborate on architectural decisions, manage data pipelines, and work within an agile team deploying applications on AWS.

The Analytics Engineer will manage the data platform, design data models, ensure data quality, and collaborate with various teams to enhance data usage and analytics automation. You'll leverage modern tooling to support a self-serve analytics culture.

Design, build, and maintain scalable data pipelines and services for large-scale search and analytics. Develop batch and ELT/ETL workflows, use Spark, Airflow, Python/Java, and AWS, apply engineering best practices, and collaborate with product and data science teams.

The Senior Data Engineer will design, build, and maintain data solutions for SwapClear, focusing on data management and utilisation, while participating in Agile development processes.

Design and build scalable data pipelines, support analytics and reporting, ensure data quality, and collaborate with cross-functional teams. Mentor team members and implement best practices in data engineering.

The Senior Data Science Engineer will design and implement production-grade analytical solutions in Python, work with relational databases, apply machine learning techniques, and mentor junior team members.

Join the Data Engineering team to develop a scalable data platform, focusing on distributed systems, big data processing, and robust service delivery.

Design and maintain scalable data pipelines, migrate data from Postgres to Clickhouse, and develop DBT models for reliable decision-making.

As a Senior Data Engineer, you'll design and implement data ingestion pipelines, maintain operational reliability, oversee complex projects, and contribute to data governance and risk communication.

As a Senior Java Developer, you'll architect a multi-petabyte scale estate and tackle complex distributed systems processing billions of datapoints daily.

The Data Reliability Engineer will handle L1 support for data issues, ensure data quality, and maintain data pipelines, working closely with traders and vendors to ensure robust operational performance.

Design and build ETL pipelines for trading data, create dashboards, conduct market analyses, and employ machine learning techniques to support regulatory decision-making.

As a Senior Data Platform Engineer at Depop, you'll architect and build data platforms, working with various teams to enhance data capabilities, support complex business problems, and promote self-service tools while ensuring operational excellence and effective stakeholder collaboration.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

Lead and mentor data engineering teams to design, build, and optimize scalable ETL/ELT pipelines and data architectures on cloud platforms, ensuring data quality, performance, and alignment with business needs.

Design and build scalable data pipelines, data models, and feature stores for analytics and ML. Deploy and manage cloud-native AWS data applications using CI/CD. Ensure production pipeline quality, performance, and reliability with strong observability and engineering best practices while collaborating with ML engineers, data scientists, and BI developers.

The role involves building and scaling data infrastructure for multimodal AI systems, developing high-throughput data pipelines, and collaborating with ML researchers and product teams to enhance data systems.

Design, build, and optimize Tableau dashboards and underlying SQL datasets (views/materialized views) from AWS Redshift. Translate stakeholder requirements into BI data models (star/snowflake), author complex SQL (CTEs, window functions), and deliver executive-ready visualizations and data storytelling to support decision-making.

The role involves building ETL pipelines, optimizing datasets, leveraging public cloud technologies, and integrating with data science initiatives to support business-critical data and analytics products.

Build end-to-end testing, evaluation, and feedback systems for a global GenAI assistant. Design data pipelines, APIs, and dashboards; own features from design to production; ensure safety, compliance, and quality; provide technical leadership and mentor peers.

The Market Data Software Engineer will lead the architecture and implementation of a low-latency market data platform, oversee engineering teams, manage projects, and ensure data quality and governance for financial services.

Seeking a Software Engineer for Regulatory Reporting to build backend systems ensuring compliance. Responsibilities include system design, data integration, and audit support.

Contribute to the Data Engineering team by building data models, optimising the Data Warehouse, and improving data quality while applying best practices.

As a Senior Data Engineer, you will manage complex data projects, lead small teams, and work with clients on data engineering solutions. Responsibilities include ETL development, data pipeline orchestration, and customer relationship management.

The Senior Data Platform Engineer will design and build modern data platforms, develop high-performance pipelines, and optimize data storage and performance while consulting directly with clients to deliver impactful solutions.